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Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

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Related Experiment Video

Updated: May 19, 2026

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

CT Attenuation Map-Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External

Robert J H Miller1,2, Jirong Yi1, Aakash Shanbhag1,3

  • 1Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.

Medrxiv : the Preprint Server for Health Sciences
|May 18, 2026
PubMed
Summary

A new body composition "fitness" score accurately estimates cardiorespiratory fitness in patients unable to exercise. This score, derived from CT scans, predicts exercise capacity and reduces cardiovascular mortality risk.

Keywords:
Deep learningbody compositionfitnessfrailty

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
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Published on: June 7, 2024

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Last Updated: May 19, 2026

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • Exercise capacity is a key predictor of cardiovascular risk.
  • Assessing cardiorespiratory fitness is challenging in patients unable to exercise.
  • Body composition analysis offers a potential alternative for fitness estimation.

Purpose of the Study:

  • To develop and validate a body composition "fitness" score.
  • To assess the score's utility in estimating cardiorespiratory fitness.
  • To evaluate the score's association with exercise capacity and mortality.

Main Methods:

  • Utilized deep learning to quantify body composition from CT scans (SPECT and PET).
  • Developed a "fitness" score based on body composition metrics.
  • Validated the score in external patient cohorts, assessing prediction for exercise capacity and mortality.

Main Results:

  • Higher median skeletal muscle density correlated with good exercise capacity.
  • The body composition "fitness" score outperformed age in predicting exercise capacity (AUC 0.771 vs 0.717).
  • A high "fitness" score was linked to reduced cardiovascular death (aHR 0.70).

Conclusions:

  • A comprehensive body composition "fitness" score effectively identifies patients with good cardiorespiratory fitness.
  • This score transforms routine CT data into a valuable surrogate marker for fitness.
  • Applicable in patients undergoing imaging where exercise testing is not feasible.